Huginn
抓取步骤:https://newzone.top/_posts/2018-10-07-huginn_scraping_any_website.html
.env
设置:https://github.com/huginn/huginn/blob/master/.env.example
常用 Agent
Huginn Agents:https://github.com/huginn/huginn/wiki/Agent-Types-&-Descriptions
Website Agent 解析网页、XML 文档和 json 数据,最常使用
Event Formatting Agent 事件信息格式化,可以对收到的信息内容进行格式化,允许添加自定义新内容
Phantom Js Cloud Agent 借助 Phantom 抓取动态页面源码,防止部门网站屏蔽爬虫
Trigger Agent 监控事件反馈信息的触发器,多用来过滤部分内容
De Duplicate Agent 去重
Data Output Agent 将数据以 RSS 和 Json 的形式向外部推送
Liquid Output Agent 自定义格式数据输出,可以用它创建 HTML 页面,json 数据等
Webhook Agent
Javascript Agent 允许执行自定义的 JS 代码,可以用于个性化操作
Digest Agent 汇总节点,收集所有收到的事件再作为一个事件发送出去
Post Agent 可以由其他节点触发,根据固定模板合并事件信息,并以 POST 或 GET 方式向指定的 URL 发起请求
Delay Agent 可以作为事件或者副本的暂存器或者缓冲区,统一触发发布
Scheduler Agent 定时器节点
Attribute Difference Agent 数值差异比较
Commander Agent 触发器代理,可以用于向其他节点发起指令控制,控制节点的执行和停止等
为自带抓取时间,Agent 设置中的特殊字符+
,需要用反义符\\
。
Huginn 被卡住
Huginn 任务有时会被卡住,后续任务都无法进行,需要重启 Huginn 方可恢复。
因此,我在 NAS 的任务计划中添加了每日运行的脚本,每天 3 点一次关闭镜像 huginn2mariadb 和 huginn2022,然后再依次启动。注意不要直接重启 Hungin Docker,否则数据库会异常。
sudo docker stop huginn2mariadb
sleep 10
sudo docker stop huginn2022
sleep 10
sudo docker start huginn2mariadb
sleep 10
sudo docker start huginn2022
如果部署在服务器,则可使用下列命令重启服务。
cd /home/huginn/huginn
sudo bundle exec rake production:force_stop
sudo bundle exec rake prduction:export
Agents
Trigger Agent
Trigger Agent 挑选符合条件的事件。
# content 字段中不包含 周雅萌 或 邓雅萌
{
"expected_receive_period_in_days": "2",
"keep_event": "true",
"rules": [
{
"type": "!regex",
"value": "周雅萌 | 邓雅萌",
"path": "$.content"
}
],
"message": "Looks like your pattern matched in '{{value}}'!"
}
# title 中包含品牌词 iluminage 或 易美肌
{
"expected_receive_period_in_days": "4",
"keep_event": "true",
"rules": [
{
"type": "regex",
"value": "iluminage|易美肌",
"path": "$.title"
}
],
"message": "Looks like your pattern matched in '{{value}}'!"
}
Liquid Output Agent
用自定义模板将数据整理,输出为 HTML,json 和 xml 格式链接。
模式一般选 Last X events
,将接收到的所有数据对外输出,默认为 1000。
Last X events
模式下,可以设置 Event limit
以控制输出数据的数量和时间段。Event limit
可以设为 100,即输出数据为 100;也可以设为「1 day」或「5 minutes」,即仅输出最近一天的内容。
Event Formatting Agent
Event Formatting Agent 允许您格式化传入的事件,根据需要添加新的字段。可以用正则来替换输入中的某些元素。具体样例参考,新京报 #5 清理版面字段格式。
正则重构
比如生成时间规则为 "created_at": "{{created_at}}"
,默认时间 2022-07-06 21:09:51 +0800
,使用正则删除规则为 "created_at": "{{created_at | regex_replace: ' ', ''| regex_replace: '(([0-1]?[0-9])|([2][0-3])):([0-5]?[0-9])(:([0-5]?[0-9]))?', ''| regex_replace: '\\+0800', ''}}"
。
加前后缀
抓取链接不完整时,需要完善链接,比如 "url_link": "https://so.toutiao.com{{temp_link}}"
。
For example, here is a possible Event:
{
"high": { "celsius": "18", "fahreinheit": "64" },
"date":
{ "epoch": "1357959600", "pretty": "10:00 PM EST on January 11, 2013" },
"conditions": "Rain showers",
"data": "This is some data",
}
You may want to send this event to another Agent, for example a Twilio Agent, which expects a message
key. You can use an Event Formatting Agent’s instructions
setting to do this in the following way:
"instructions": {
"message": "Today's conditions look like {{conditions}} with a high temperature of {{high.celsius}} degrees Celsius.",
"subject": "{{data}}",
"created_at": "{{created_at}}"
}
Names here like conditions
, high
and data
refer to the corresponding values in the Event hash.
The special key created_at
refers to the timestamp of the Event, which can be reformatted by the date
filter, like {{created_at | date:"at %I:%M %p" }}
.
The upstream agent of each received event is accessible via the key agent
, which has the following attributes: name
, options
, sources
, type
, url
, id
, disabled
, memory
, controllers
, schedule
, keep_events_for
, propagate_immediately
, working
, receivers
, control_targets
.
Have a look at the Wiki to learn more about liquid templating.
Events generated by this possible Event Formatting Agent will look like:
{
"message": "Today's conditions look like Rain showers with a high temperature of 18 degrees Celsius.",
"subject": "This is some data"
}
In matchers
setting you can perform regular expression matching against contents of events and expand the match data for use in instructions
setting. Here is an example:
{
"matchers": [
{
"path": "{{date.pretty}}",
"regexp": "A(?<time>dd:dd [AP]M [A-Z]+)",
"to": "pretty_date"
}
]
}
This virtually merges the following hash into the original event hash:
"pretty_date": {
"time": "10:00 PM EST",
"0": "10:00 PM EST on January 11, 2013"
"1": "10:00 PM EST"
}
So you can use it in instructions
like this:
"instructions": {
"message": "Today's conditions look like {{conditions}} with a high temperature of {{high.celsius}} degrees Celsius according to the forecast at {{pretty_date.time}}.",
"subject": "{{data}}"
}
If you want to retain original contents of events and only add new keys, then set mode
to merge
, otherwise set it to clean
.
To CGI escape output (for example when creating a link), use the Liquid uri_escape
filter, like so:
{
"message": "A peak was on Twitter in {{group_by}}. Search: https://twitter.com/search?q={{group_by | uri_escape}}"
}
Adioso Agent - 机票价格追踪
Creates events
Adioso Agent 可以查询两个城市间,在指定时间内的最低飞机票价格。机票价格货币是美元。查询日期 start_date
和 end_date
之间的差异需小于 150 天。需要注册 Adioso,并在 username
and password
中输入。
Aftership Agent - 物流追踪-API 付费
Creates events
Aftership agent 帮助你追踪你的快递,并实时更新包裹动态。为了能够使用 Aftership API,您需要生成一个 API Key
。这需要付费才能使用其跟踪功能。
操作说明: Provide the path
for the API endpoint that you’d like to hit. For example, for all active packages, enter trackings
(see https://www.aftership.com/docs/api/4/trackings), for a specific package, use trackings/SLUG/TRACKING_NUMBER
and replace SLUG
with a courier code and TRACKING_NUMBER
with the tracking number. You can request last checkpoint of a package by providing last_checkpoint/SLUG/TRACKING_NUMBER
instead.
You can get a list of courier information here https://www.aftership.com/courier
Required Options:
api_key
- YOUR_API_KEY.path request and its full path
Algorithmia Agent - AI 算法
Creates events
Receives events
Dry runs
huginn_algorithmia_agent
AlgoritmiaAgent 运行 Algorithmia 中的算法。在使用此代理之前,您需要注册一个Algorithmia帐户。
The created event will have the output from Algorithmia in the result
key. To merge incoming Events with the result, use merge
for the mode
key.
Attribute Difference Agent - 属性差异(待深入理解)
Creates events
Receives events
The Attribute Difference Agent receives events and emits a new event with the difference or change of a specific attribute in comparison to the previous event received. Attribute Difference Agent 用于传递两个不同值的差异和改变。
path
specifies the JSON path of the attribute to be used from the event.
output
specifies the new attribute name that will be created on the original payload and it will contain the difference or change.
method
specifies if it should be…
percentage_change
eg. Previous value was160
, new value is116
. Percentage change is-27.5
decimal_difference
eg. Previous value was5.5
, new value is15.2
. Difference is9.7
integer_difference
eg. Previous value was50
, new value is40
. Difference is-10
decimal_precision
defaults to 3
, but you can override this if you want.
expected_update_period_in_days
is used to determine if the Agent is working.
The resulting event will be a copy of the received event with the difference or change added as an extra attribute. If you use the percentage_change
the attribute will be formatted as such {{attribute}}_change
, otherwise it will be {{attribute}}_diff
.
All configuration options will be liquid interpolated based on the incoming event.
Basecamp Agent - Service 停用
Creates events
37signals
The Basecamp Agent checks a Basecamp project for new Events
To be able to use this Agent you need to authenticate with 37signals in the Services section first.
Bigquery Agent - 大型数据库分析
Creates events
Receives events
Dry runs
huginn_bigquery_agent
Bigquery Agent 会调用 Google BigQuery 和 Goolge Cloud 账户,可能需要付费。同时,Bigquery Agent 依靠服务帐户进行身份验证,而不是 oauth。
Setup:
- Visit the google api console
- Use your existing project (or create a new one)
- APIs & Auth -> Enable BigQuery
- Credentials -> Create new Client ID -> Service Account
- Download the JSON keyfile and either save it to a path, ie:
/home/huginn/Huginn-5d12345678cd.json
, or copy the value ofprivate_key
from the file. - Grant that service account access to the BigQuery datasets and tables you want to query.
The JSON keyfile you downloaded earlier should look like this:
{
"type": "service_account",
"project_id": "huginn-123123",
"private_key_id": "6d6b476fc6ccdb31e0f171991e5528bb396ffbe4",
"private_key": "-----BEGIN PRIVATE KEY-----\n...\n-----END PRIVATE KEY-----\n",
"client_email": "huginn@huginn-123123.iam.gserviceaccount.com",
"client_id": "123123...123123",
"auth_uri": "https://accounts.google.com/o/oauth2/auth",
"token_uri": "https://accounts.google.com/o/oauth2/token",
"auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
"client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/huginn%40huginn-123123.iam.gserviceaccount.com"
}
Agent Configuration:
project_id
- The id of the Google Cloud project.
query
- The BigQuery query to run. Liquid formatting is supported to run queries based on receiving events.
use_legacy
- Whether or not to use BigQuery legacy SQL or standard SQL. (Defaults to false
)
max
- Maximum number of rows to return. Defaults to unlimited, but results are always limited to 10 MB.
timeout
- How long to wait for query to complete (in ms). Defaults to 10000
.
event_per_row
- Whether to create one Event per row returned, or one event with all rows as results
. Defaults to false
.
Authorization
keyfile
- (String) The path (relative to where Huginn is running) to the JSON keyfile downloaded in step 5 above.
Alternately, keyfile
can be a hash:
keyfile
private_key
- The private key (value of private_key
from the downloaded file). Liquid formatting is supported if you want to use a Credential. (E.g., {% credential google-bigquery-key %}
)
keyfile
client_email
- The value of client_email
from the downloaded file. Same as the service account email.
Boxcar Agent - iPhone 通知栏 app
Receives events
Boxcar agent 会在 iPhone 推送通知,但其不兼容于 iOS 10 系统,已经停止更新。
To be able to use the Boxcar end-user API, you need your Access Token
. The access token is available on general “Settings” screen of Boxcar iOS app or from Boxcar Web Inbox settings page.
Please provide your access token in the user_credentials
option. If you’d like to use a credential, set the user_credentials
option to {% credential CREDENTIAL_NAME %}
.
Options:
user_credentials
- Boxcar access token.title
- Title of the message.body
- Body of the message.source_name
- Name of the source of the message. Set toHuginn
by default.icon_url
- URL to the icon.sound
- Sound to be played for the notification. Set to ‘bird-1’ by default.
Change Detector Agent - 监测数据变化
Creates events
Receives events
The Change Detector Agent receives a stream of events and emits a new event when a property of the received event changes. Change Detector Agent 会接收数据流内容,并在监测到数据属性改变后,传递出新事件。
property
specifies a Liquid template that expands to the property to be watched, where you can use a variable last_property
for the last property value. If you want to detect a new lowest price, try this: {% assign drop = last_property | minus: price %}{% if last_property == blank or drop > 0 %}{{ price | default: last_property }}{% else %}{{ last_property }}{% endif %}
expected_update_period_in_days
is used to determine if the Agent is working.
The resulting event will be a copy of the received event.
Commander Agent - 触发命令
Receives events
Controls agents
Commander Agent 由时间表或传入事件触发,并触发其他 agents 运行,禁用,配置或启用自己。
Action types
Set action
to one of the action types below:
run
: Target Agents are run when this agent is triggered.disable
: Target Agents are disabled (if not) when this agent is triggered.enable
: Target Agents are enabled (if not) when this agent is triggered.configure
: Target Agents have their options updated with the contents ofconfigure_options
.
Here’s a tip: you can use Liquid templating to dynamically determine the action type. For example:
To create a CommanderAgent that receives an event from a WeatherAgent every morning to kick an agent flow that is only useful in a nice weather, try this:
{% if conditions contains 'Sunny' or conditions contains 'Cloudy' %}
run{% endif %}
Likewise, if you have a scheduled agent flow specially crafted for rainy days, try this:
{% if conditions contains 'Rain' %}enable{% else %}disabled{% endif %}
If you want to update a WeatherAgent based on a UserLocationAgent, you could use
'action': 'configure'
and set ‘configure*options’ to{ 'location': '{{\_location*.latlng}}' }
.In templating, you can use the variable
target
to refer to each target agent, which has the following attributes:name
,options
,sources
,type
,url
,id
,disabled
,memory
,controllers
,schedule
,keep_events_for
,propagate_immediately
,working
,receivers
, andcontrol_targets
.
Targets
Select Agents that you want to control from this CommanderAgent.
Csv Agent - CSV 表格数据处理
Creates events
Receives events
Consumes file pointer
CsvAgent 可以解析或重构 CSV 表格数据。解析时,可以针对整个 CSV,也可以单独处理一行数据。
Set mode
to parse
to parse CSV from incoming event, when set to serialize
the agent serilizes the data of events to CSV.
Universal options
Specify the separator
which is used to seperate the fields from each other (default is ,
).
data_key
sets the key which contains the serialized CSV or parsed CSV data in emitted events.
Parsing
If use_fields
is set to a comma seperated string and the CSV file contains field headers the agent will only extract the specified fields.
output
determines wheather one event per row is emitted or one event that includes all the rows.
Set with_header
to true
if first line of the CSV file are field names.
This agent can consume a ‘file pointer’ event from the following agents with no additional configuration: FtpsiteAgent
, LocalFileAgent
, S3Agent
. Read more about the concept in the wiki.
When receiving the CSV data in a regular event use JSONPath to select the path in data_path
. data_path
is only used when the received event does not contain a ‘file pointer’.
Serializing
If use_fields
is set to a comma seperated string and the first received event has a object at the specified data_path
the generated CSV will only include the given fields.
Set with_header
to true
to include a field header in the CSV.
Use JSONPath in data_path
to select with part of the received events should be serialized.
Data Output Agent - 网页输出数据(RSS)
Receives events
Data Output Agent 将传入的数据输入为 RSS 或 JSON,具体格式为“.xml”或“.json”。
This Agent will output data at:
https:///users/1/web_requests/:id/:secret.xml
where :secret
is one of the allowed secrets specified in your options and the extension can be xml
or json
.
You can setup multiple secrets so that you can individually authorize external systems to access your Huginn data.
Options:
secrets
- An array of tokens that the requestor must provide for light-weight authentication.expected_receive_period_in_days
- How often you expect data to be received by this Agent from other Agents.template
- A JSON object representing a mapping between item output keys and incoming event values. Use Liquid to format the values. Values of thelink
,title
,description
andicon
keys will be put into the<channel>
section of RSS output. Value of theself
key will be used as URL for this feed itself, which is useful when you serve it via reverse proxy. Theitem
key will be repeated for every Event. ThepubDate
key for each item will have the creation time of the Event unless given.events_to_show
- The number of events to output in RSS or JSON. (default:40
)ttl
- A value for the<ttl>
element in RSS output. (default:60
)ns_media
- Add yahoo media namespace in output xmlns_itunes
- Add itunes compatible namespace in output xmlrss_content_type
- Content-Type for RSS output (default:application/rss+xml
)response_headers
- An object with any custom response headers. (example:{"Access-Control-Allow-Origin": "*"}
)push_hubs
- Set to a list of PubSubHubbub endpoints you want to publish an update to every time this agent receives an event. (default: none) Popular hubs include Superfeedr and Google. Note that publishing updates will make your feed URL known to the public, so if you want to keep it secret, set up a reverse proxy to serve your feed via a safe URL and specify it intemplate.self
.
If you’d like to output RSS tags with attributes, such as enclosure
, use something like the following in your template
:
"enclosure": {
"_attributes": {
"url": "{{media_url}}",
"length": "1234456789",
"type": "audio/mpeg"
}
},
"another_tag": {
"_attributes": {
"key": "value",
"another_key": "another_value"
},
"_contents": "tag contents (can be an object for nesting)"
}
Ordering events
To specify the order of events, set events_order
to an array of sort keys, each of which looks like either expression
or [expression, type, descending]
, as described as follows:
expression is a Liquid template to generate a string to be used as sort key.
type (optional) is one of
string
(default),number
andtime
, which specifies how to evaluate expression for comparison.descending (optional) is a boolean value to determine if comparison should be done in descending (reverse) order, which defaults to
false
.
Sort keys listed earlier take precedence over ones listed later. For example, if you want to sort articles by the date and then by the author, specify [["{{date}}", "time"], "{{author}}"]
.
Sorting is done stably, so even if all events have the same set of sort key values the original order is retained. Also, a special Liquid variable _index_
is provided, which contains the zero-based index number of each event, which means you can exactly reverse the order of events by specifying [["{{_index_}}", "number", true]]
.
DataOutputAgent will select the last events_to_show
entries of its received events sorted in the order specified by events_order
, which is defaulted to the event creation time. So, if you have multiple source agents that may create many events in a run, you may want to either increase events_to_show
to have a larger “window”, or specify the events_order
option to an appropriate value (like date_published
) so events from various sources are properly mixed in the resulted feed.
There is also an option events_list_order
that only controls the order of events listed in the final output, without attempting to maintain a total order of received events. It has the same format as events_order
and is defaulted to [["{{_index_}}","number",true]]
so the selected events are listed in reverse order like most popular RSS feeds list their articles.
Liquid Templating
In Liquid templating, the following variable is available:
events
: An array of events being output, sorted in the given order, up toevents_to_show
in number. For example, if source events contain a site title in thesite_title
key, you can refer to it intemplate.title
by putting{{events.first.site_title}}
.
De Duplication Agent - 数据去重
Creates events
Receives events
De-duplication Agent 在接受数据后,会自动比对并去除重复数据。
property
the value that should be used to determine the uniqueness of the event (empty to use the whole payload)
lookback
amount of past Events to compare the value to (0 for unlimited)
expected_update_period_in_days
is used to determine if the Agent is working.
Delay Agent - 缓冲存储区
Creates events
Receives events
Delay Agent 存储收到的事件,并按计划发送它们的副本。将其用作事件的缓冲区或队列。
max_events
should be set to the maximum number of events that you’d like to hold in the buffer. When this number is reached, new events will either be ignored, or will displace the oldest event already in the buffer, depending on whether you set keep
to newest
or oldest
.
expected_receive_period_in_days
is used to determine if the Agent is working. Set it to the maximum number of days that you anticipate passing without this Agent receiving an incoming Event.
max_emitted_events
is used to limit the number of the maximum events which should be created. If you omit this DelayAgent will create events for every event stored in the memory.
Digest Agent - 摘要汇总 - 未理解
Creates events
Receives events
Digest Agent 收集发送给它的任何事件并将其作为单个事件发出。
The resulting Event will have a payload message of message
. You can use liquid templating in the message
, have a look at the Wiki for details.
Set expected_receive_period_in_days
to the maximum amount of time that you’d expect to pass between Events being received by this Agent.
If retained_events
is set to 0 (the default), all received events are cleared after a digest is sent. Set retained_events
to a value larger than 0 to keep a certain number of events around on a rolling basis to re-send in future digests.
For instance, say retained_events
is set to 3 and the Agent has received Events 5
, 4
, and 3
. When a digest is sent, Events 5
, 4
, and 3
are retained for a future digest. After Event 6
is received, the next digest will contain Events 6
, 5
, and 4
.
Dkt Clustering Agent - 数据挖掘算法?
Creates events
Receives events
Consumes file pointer
Dry runs
huginn_dkt_curation_agents 使用 DKT APIs,其中含有多个 agents,具体查看上方链接。
The DktClusteringAgent
clusters the input document collection. The document collection first has to be converted to a set of vectors. DktClusteringAgent 会对输入文档集合进行聚类,文档集合首先必须被转换成一组向量。输入文档需要为特定格式,DktClusteringAgent 会在这个输入数据中查找集群。输入会包含查找到的集群数量和找到的集群特定值的信息。
The Agent expects the input in this particular format and then proceeds to find clusters in this input data. The output contains information on the number of clusters found and specific values for the found clusters.
The Agent accepts all configuration options of the /e-clustering/generateClusters
endpoint as of september 2016, have a look at the offical documentation if you need additional information
All Agent configuration options are interpolated using Liquid in the context of the received event.
url
allows to customize the endpoint of the API when hosting the DKT services elswhere.
body
use Liquid templating to specify the input .arff file. See http://www.cs.waikato.ac.nz/ml/weka/arff.html for an explanation of this format.
language
language of the source data
algorithm
: the algorithm to be used during clustering. Currently EM and Kmeans are supported.
merge
set to true
to retain the received payload and update it with the extracted result
result_key
when present the emitted Event data will be nested inside the specified key
When receiving a file pointer:
body
will be ignored and the contents of the received file will be send instead.
This agent can consume a ‘file pointer’ event from the following agents with no additional configuration: FtpsiteAgent
, LocalFileAgent
, S3Agent
. Read more about the concept in the wiki.
Dropbox File Url
Agent Creates
events Receives events
Dry runs
Dropbox oauth2
DropboxFileUrlAgent 用于使用 Dropbox。它需要一个文件路径(或多个文件路径),并通过临时链接或永久链接发送事件。
Include the dropbox-api
and omniauth-dropbox
gems in your Gemfile
and set DROPBOX_OAUTH_KEY
and DROPBOX_OAUTH_SECRET
in your environment to use Dropbox Agents.
The incoming event payload needs to have a paths
key, with a comma-separated list of files you want the URL for. For example:
{
"paths": "first/path, second/path"
}
TIP: You can use the Event Formatting Agent to format events before they come in. Here’s an example configuration for formatting an event coming out of a Dropbox Watch Agent:
{
"instructions": {
"paths": "{{ added | map: 'path' | join: ',' }}"
},
"matchers": [],
"mode": "clean"
}
An example of usage would be to watch a specific Dropbox directory (with the DropboxWatchAgent) and get the URLs for the added or updated files. You could then, for example, send emails with those links.
Set link_type
to 'temporary'
if you want temporary links, or to 'permanent'
for permanent ones.
Dropbox Watch Agent
Creates events
Dropbox oauth2
Dropbox Watch Agent 监测给定值dir_to_watch
并发出检测到的更改的事件。
Include the dropbox-api
and omniauth-dropbox
gems in your Gemfile
and set DROPBOX_OAUTH_KEY
and DROPBOX_OAUTH_SECRET
in your environment to use Dropbox Agents.
Email Agent - 邮件触发器?
Receives events
Email Agent 收到任何内容后,会立即发送邮件通知。
You can specify the email’s subject line by providing a subject
option, which can contain Liquid formatting. E.g., you could provide "Huginn email"
to set a simple subject, or {{subject}}
to use the subject
key from the incoming Event.
By default, the email body will contain an optional headline
, followed by a listing of the Events’ keys.
You can customize the email body by including the optional body
param. Like the subject
, the body
can be a simple message or a Liquid template. You could send only the Event’s some_text
field with a body
set to {{ some_text }}
. The body can contain simple HTML and will be sanitized. Note that when using body
, it will be wrapped with <html>
and <body>
tags, so you do not need to add these yourself.
You can specify one or more recipients
for the email, or skip the option in order to send the email to your account’s default email address.
You can provide a from
address for the email, or leave it blank to default to the value of EMAIL_FROM_ADDRESS
(``).
You can provide a content_type
for the email and specify text/plain
or text/html
to be sent. If you do not specify content_type
, then the recipient email server will determine the correct rendering.
Set expected_receive_period_in_days
to the maximum amount of time that you’d expect to pass between Events being received by this Agent.
Email Digest Agent - 邮件摘要
Receives events
Email Digest Agent 收集发送给它的任何事件,并按计划通过电子邮件发送。使用事件的数目与 Keep events
有关,这意味着如果事件在 Email Digest Agent 计划运行之前到期,它们将不会出现在电子邮件中。
By default, the will have a subject
and an optional headline
before listing the Events. If the Events’ payloads contain a message
, that will be highlighted, otherwise everything in their payloads will be shown.
You can specify one or more recipients
for the email, or skip the option in order to send the email to your account’s default email address.
You can provide a from
address for the email, or leave it blank to default to the value of EMAIL_FROM_ADDRESS
(``).
You can provide a content_type
for the email and specify text/plain
or text/html
to be sent. If you do not specify content_type
, then the recipient email server will determine the correct rendering.
Set expected_receive_period_in_days
to the maximum amount of time that you’d expect to pass between Events being received by this Agent.
Evernote Agent
Creates events
Receives events
Evernote
Evernote Agent 与你的 Evernote 账户相连,新建笔记。
Visit Evernote to set up an Evernote app and receive an api key and secret. Store these in the Evernote environment variables in the .env file. You will also need to create a Sandbox account to use during development.
Next, you’ll need to authenticate with Evernote in the Services section.
Options:
mode
- Two possible values:update
Based on events it receives, the agent will create notes or update notes with the sametitle
andnotebook
read
On a schedule, it will generate events containing data for newly added or updated notes
include_xhtml_content
- Set totrue
to include the content in ENML (Evernote Markup Language) of the notenote
When
mode
isupdate
the parameters ofnote
are the attributes of the note to be added/edited. To edit a note, bothtitle
andnotebook
must be set.For example, to add the tags ‘comic’ and ‘CS’ to a note titled ‘xkcd Survey’ in the notebook ‘xkcd’, use:
"notes": { "title": "xkcd Survey", "content": "", "notebook": "xkcd", "tagNames": "comic, CS" }
If a note with the above title and notebook did note exist already, one would be created.
When
mode
isread
the values are search parameters. Note: Thecontent
parameter is not used for searching. Settingtitle
only filters notes whose titles containtitle
as a substring, not as the exact title.For example, to find all notes with tag ‘CS’ in the notebook ‘xkcd’, use:
"notes": { "title": "", "content": "", "notebook": "xkcd", "tagNames": "CS" }
Freme Explore Agent - SPARQL-数据断点?
Creates events
Receives events
Dry runs
huginn_freme_enrichment_agents 使用 FREME APIs,其中含有多个 agents,具体查看上方链接。
The FremeExploreAgent
can retrieve description of a resource from a given endpoint. The endpoint can be SPARQL or Linked Data Fragments endpoint. FremeExploreAgent 可以检索给定端点的资源描述。端点可以是 SPARQL 或 Linked Data Fragments 端点。
The Agent accepts all configuration options of the /e-link/explore
endpoint as of September 2016, have a look at the offical documentation if you need additional information.
All Agent configuration options are interpolated using Liquid in the context of the received event.
base_url
allows to customize the API server when hosting the FREME services elswhere.
auth_token
can be set to access private filters, datasets, templates or pipelines (depending on the agent).
outformat
requested RDF serialization format of the output (required), CSV is only supported when using a filter.
resource
a URI of the resource which should be described (required).
endpoint
a URL of the endpoint which should be used to retrieve info about the resource.
endpoint_type
the type of the endpoint (required).
filter
allows to post-process the results using a pre-configured SPARQL filter. Check the official documentation for details.
merge
set to true
to retain the received payload and update it with the extracted result
result_key
when present the emitted Event data will be nested inside the specified key
Ftpsite Agent
Creates events
Receives events
Emits file pointer
Ftp Site Agent 检查 FTP 站点,并根据目录中新上载的文件创建事件。当接收到事件时,它会在配置的 FTP 服务器上创建文件。
mode
must be present and either read
or write
, in read
mode the agent checks the FTP site for changed files, with write
it writes received events to a file on the server.
Universal options
Specify a url
that represents a directory of an FTP site to watch, and a list of patterns
to match against file names.
Login credentials can be included in url
if authentication is required: ftp://username:password@ftp.example.com/path
. Liquid formatting is supported as well: ftp://{% credential ftp_credentials %}@ftp.example.com/
Optionally specify the encoding of the files you want to read/write in force_encoding
, by default UTF-8 is used.
Reading
Only files with a last modification time later than the after
value, if specifed, are emitted as event.
Writing
Specify the filename to use in filename
, Liquid interpolation is possible to change the name per event.
Use Liquid templating in data
to specify which part of the received event should be written.
This agent only emits a ‘file pointer’, not the data inside the files, the following agents can consume the created events: CsvAgent
, PostAgent
, ReadFileAgent
. Read more about the concept in the wiki.